prediction of water requirement of sugar beet during 2011-2030 by using simulated weather data with lars-wg downscaling model

abstract the most important part of the design and operation of the supplier systems of agricultural water requirement is the estimating of plant water requirement. in this study by using the lars-wg5 model, downscaled the data of hadcm3 model according a1b, a2 and b1 scenarios that confirmed by ipcc, and was simulated monthly amounts of precipitation, minimum temperature, maximum temperature and sunshine hours in khorasan razavi province in the period 2011 - 2030. then using optiwat software, reference evapotranspiration and effective rainfall calculated with hargreaves- samani and fao method respectively and finally the water requirement of sugar beet was estimated in monthly scale for the two next decades compared with the base period (1991-2010). the results showed that spring and autumn precipitation in the future period will be increased in all stations except torbat jam compared with the base period. most increase of precipitation equal 26, 21 and 16 percent based in a1b, a2 and b1 scenarios compared with the base period is owned mashhad station and will occur in april. also according simulation of lars-wg5 model, minimum and maximum temperatures will increase during 2011 to 2030 and the increase of the minimum temperature is more than maximum temperature. as a result of these changes, the water requirement of sugar beet in 20 next years in most of the city of khorasan razavi province will be different compared to the current period. so that the torbat jam station under scenario a1b, a2 and b1, respectively 19, 18 and 18 percent and in the golmakan respectively 15, 17 and 17 percent, water requirement of this plant will increase from the period of development until the beginning of the final period of growth and in ghuchan, nishabur and mashhad will decrease in the middle period of growth. the most amounts of the reducing in water requirement equal 10 percent and belonging to ghchan station. the results of running optiwat software also showed that in sarakhs, gonabad, kashmar and sabzevar, would not happen perceptible change in the amount of water requirement of this plant in the next two decades compared with the base period,.